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Workshop
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Fri 13:30
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Invited speaker: Fast convergence of stochastic subgradient method under interpolation, Michael Friedlander
Michael Friedlander
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Workshop
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Fri 8:00
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Contributed Video: Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization, Samuel Horvath
Samuel Horváth
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Poster
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Thu 9:00
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Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
Yifan Hu · Siqi Zhang · Xin Chen · Niao He
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Poster
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Wed 9:00
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Minibatch Stochastic Approximate Proximal Point Methods
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
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Spotlight
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Wed 7:50
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Minibatch Stochastic Approximate Proximal Point Methods
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
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Poster
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Tue 9:00
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Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function
Lingkai Kong · Molei Tao
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Poster
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Wed 9:00
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Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
Yu-Guan Hsieh · Franck Iutzeler · Jérôme Malick · Panayotis Mertikopoulos
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Spotlight
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Wed 7:10
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Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
Yu-Guan Hsieh · Franck Iutzeler · Jérôme Malick · Panayotis Mertikopoulos
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Poster
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Tue 21:00
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Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization
Yan Yan · Yi Xu · Qihang Lin · Wei Liu · Tianbao Yang
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Poster
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Mon 21:00
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Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach
Luofeng Liao · You-Lin Chen · Zhuoran Yang · Bo Dai · Mladen Kolar · Zhaoran Wang
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Poster
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Tue 9:00
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Synthetic Data Generators -- Sequential and Private
Olivier Bousquet · Roi Livni · Shay Moran
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Poster
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Wed 21:00
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Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method
Qi Zhou · Yufei Kuang · Zherui Qiu · Houqiang Li · Jie Wang
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